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Llama 3.2 11B Vision vs Yi-Lightning

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 11B Vision and Yi-Lightning.

Meta

Llama 3.2 11B Vision

Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.

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01.AI

Yi-Lightning

Yi-Lightning is 01.AI's (離一万物) fastest and most cost-efficient model, purpose-built for high-throughput production workloads. It delivers competitive performance against GPT-4o-mini and Claude Haiku at a fraction of the cost, with exceptional bilingual Chinese-English capabilities. Yi-Lightning excels at classification, entity extraction, summarization, and high-frequency API tasks where latency and cost-per-call are critical constraints.

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Technical Specifications

SpecificationLlama 3.2 11B VisionYi-Lightning
ProviderMeta01.AI
Context Window131,072 tokens131,072 tokens
Agent Suitability72/10082/100
Time to First Token (TTFT)150 ms120 ms
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-09-252025-10-01

API Pricing Comparison

Input Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Yi-Lightning

$0.15

Output Price per Million Tokens

Llama 3.2 11B Vision

$0.34

Yi-Lightning

$0.30

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7300.0%vsN/A
Llama 3.2 11B Vision
Yi-Lightning
HumanEvalPython coding & logic synthesis
7500.0%vsN/A
Llama 3.2 11B Vision
Yi-Lightning
MATHComplex mathematical problem solving
5800.0%vsN/A
Llama 3.2 11B Vision
Yi-Lightning
GPQAGraduate-level expert reasoning
3800.0%vsN/A
Llama 3.2 11B Vision
Yi-Lightning
HellaSwagCommonsense reasoning and inference
8200.0%vsN/A
Llama 3.2 11B Vision
Yi-Lightning
MT-BenchMulti-turn conversation flow quality
790.0%vsN/A
Llama 3.2 11B Vision
Yi-Lightning

Llama 3.2 11B Vision Quirks & Gotchas

  • β–ΈLightweight vision model for edge/on-device deployments
  • β–ΈLimited tool calling β€” use Llama 4 for production agentic tasks

Yi-Lightning Quirks & Gotchas

  • β–ΈBest cost-efficiency for high-volume bilingual applications
  • β–ΈSelf-hostable via Ollama β€” excellent open-weight option for Asian-language pipelines